TensorFlow for Deep Learning Bootcamp

Module 1: Introduction to TensorFlow & Certification Overview

⏳ 30 minutes

• Understand the TensorFlow Developer Certificate scope.

• Install TensorFlow and configure your dev environment.

Module 2: TensorFlow Fundamentals

⏳ 45 minutes

• Tensors, operations, and auto-differentiation in TensorFlow.

• Core concepts including broadcasting and reshaping.

Module 3: Neural Network Regression and Classification

⏳ 60 minutes

• Build dense networks using the Keras Sequential API.

• Loss functions, optimizers, and metrics in practice.

Module 4: Computer Vision & CNNs

⏳ 60 minutes

• Implement convolutional neural networks for image classification.

• Apply to datasets like Fashion MNIST and CIFAR-10.

Module 5: Transfer Learning & Fine-Tuning

⏳ 45 minutes

• Use pretrained models (e.g., MobileNetV2) for custom tasks.

• Feature extraction vs. full model fine-tuning.

Module 6: Time Series Forecasting & RNNs

⏳ 60 minutes

• Build models with LSTM and GRU layers.

• Predict future values using real time series data.

Module 7: Natural Language Processing (NLP)

⏳ 60 minutes

• Text vectorization, embeddings, and sequence modeling.

• Sentiment analysis and text generation applications.

Module 8: TensorFlow Tools & Deployment

⏳ 45 minutes

• Track training with TensorBoard.

• Export models using SavedModel and convert with TFLite.

Module 9: Final Exam Prep & Project Walkthrough

⏳ 75 minutes

• Complete walkthrough of a certification-level project.

• Tips and best practices for passing the official TensorFlow exam.

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